Integration of e-Science and Grid technologies into curriculum teaching is currently an ambitious aim for teachers and school infrastructures to organise. However, it can expose c...
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
This paper introduces an adaptive parallel pipeline pattern which follows the GRASP (Grid-Adaptive Structured Parallelism) methodology. GRASP is a generic methodology to incorpora...
In the context of computational grids, a metascheduler is the service responsible for scheduling jobs across many geographically distributed processor clusters. Typically, these s...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
Grid data streaming applications are novel from others in that they require real-time data supply while the processing is going on, which necessitates harmonious collaborations am...